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Paper Citation Record · LEDGER

Programs as Black-Box Explanations

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.07579.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1611.07579 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:45:40.040397Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-09T17:34:25.277192Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d5d13065-9570-4f85-bd56-1a8d15f8b42d · inbound

Regional Tree Regularization for Interpretability in Black Box Models cites this paper.

Regional Tree Regularization for Interpretability in Black Box Models Programs as Black-Box Explanations

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:45:40.040397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:45:40.040397Z digest=sha256:4169ad16f261c242e333d0b10328b732487ddbbe54eef7a9d0646f5b2186fd19

Observation b8379222-7beb-406b-809c-cba11fdc9c80 · inbound

Optimizing for Interpretability in Deep Neural Networks with Tree Regularization cites this paper.

Optimizing for Interpretability in Deep Neural Networks with Tree Regularization Programs as Black-Box Explanations

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-14T13:24:16.954881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:24:16.954881Z digest=sha256:6ffb671bd139662022d481be5192d1280c2a09c7ce63a730b34a0f8afe5e05fe

Observation e26d7395-a466-4277-a84e-679eeac4c88b · inbound

Explainability in Practice: A Survey of Explainable NLP Across Various Domains cites this paper.

Explainability in Practice: A Survey of Explainable NLP Across Various Domains Programs as Black-Box Explanations

Reference 2013

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T17:34:25.280843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-09T17:34:25.178803Z digest=sha256:d90e32259f66dd7ff272a3edf397a3c99e89402c773fda4f0f3b28e99bd55bb2